Pu Yang

1.1k total citations
34 papers, 851 citations indexed

About

Pu Yang is a scholar working on Molecular Biology, Cancer Research and Surgery. According to data from OpenAlex, Pu Yang has authored 34 papers receiving a total of 851 indexed citations (citations by other indexed papers that have themselves been cited), including 18 papers in Molecular Biology, 15 papers in Cancer Research and 8 papers in Surgery. Recurrent topics in Pu Yang's work include Cancer-related molecular mechanisms research (7 papers), MicroRNA in disease regulation (4 papers) and Aortic aneurysm repair treatments (3 papers). Pu Yang is often cited by papers focused on Cancer-related molecular mechanisms research (7 papers), MicroRNA in disease regulation (4 papers) and Aortic aneurysm repair treatments (3 papers). Pu Yang collaborates with scholars based in China, United States and Japan. Pu Yang's co-authors include Mengwen Zhao, Jörn Rittweger, Zhihe Zhao, Yu Li, Lixing Zhao, Zihua Chen, Mingmei Liao, Yeke Wu, Weijie Yuan and Qian Yu and has published in prestigious journals such as SHILAP Revista de lepidopterología, Cancer Research and Journal of Virology.

In The Last Decade

Pu Yang

32 papers receiving 836 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name	h						Papers	Cites
Pu Yang China	16	399	271	94	91	84	34	851
Ting Tian China	20	377 0.9×	208 0.8×	131 1.4×	114 1.3×	80 1.0×	40	854
Ya Xu China	15	588 1.5×	447 1.6×	119 1.3×	54 0.6×	79 0.9×	55	948
Zhao Zheng China	22	629 1.6×	233 0.9×	125 1.3×	209 2.3×	42 0.5×	46	1.4k
Agnes Schröder Germany	18	477 1.2×	137 0.5×	62 0.7×	93 1.0×	36 0.4×	73	1.2k
Bing Lu China	20	454 1.1×	180 0.7×	100 1.1×	80 0.9×	43 0.5×	81	1.2k
Xinghua Feng China	21	586 1.5×	250 0.9×	127 1.4×	121 1.3×	87 1.0×	53	1.2k
Yan Sun China	19	422 1.1×	157 0.6×	155 1.6×	257 2.8×	80 1.0×	75	1.3k
Ximin Hu China	19	642 1.6×	120 0.4×	89 0.9×	78 0.9×	54 0.6×	39	1.1k
Haijing Sun China	16	358 0.9×	163 0.6×	53 0.6×	73 0.8×	33 0.4×	29	949

Countries citing papers authored by Pu Yang

Since Specialization

Citations

This map shows the geographic impact of Pu Yang's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Pu Yang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Pu Yang more than expected).

Fields of papers citing papers by Pu Yang

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Pu Yang. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Pu Yang. The network helps show where Pu Yang may publish in the future.

Co-authorship network of co-authors of Pu Yang

This figure shows the co-authorship network connecting the top 25 collaborators of Pu Yang. A scholar is included among the top collaborators of Pu Yang based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Pu Yang. Pu Yang is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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20 of 20 papers shown

Chen, J. C.F., Pu Yang, J.C. Li, et al.. (2025). Deflection law in trajectory of large caliber conical-nosed projectile at high-speed oblique water entry. Physics of Fluids. 37(3). 1 indexed citations

Yang, Pu, et al.. (2025). Ellagic Acid Mediates the Delay of Dermal Fibroblast Senescence via CSNK2A1. Clinical Cosmetic and Investigational Dermatology. Volume 18. 1971–1983. 1 indexed citations

Yang, Pu, Chenshuang Li, Min Lee, et al.. (2020). Photopolymerizable Hydrogel-Encapsulated Fibromodulin-Reprogrammed Cells for Muscle Regeneration. Tissue Engineering Part A. 26(19-20). 1112–1122. 11 indexed citations

Zhao, Mengwen, et al.. (2020). SP1 activated-lncRNA SNHG1 mediates the development of epilepsy via miR-154-5p/TLR5 axis. Epilepsy Research. 168. 106476–106476. 24 indexed citations

Cai, Zhou, Junxiao Yang, Baihong Pan, et al.. (2020). LncRNA SENCR suppresses abdominal aortic aneurysm formation by inhibiting smooth muscle cells apoptosis and extracellular matrix degradation. Bosnian Journal of Basic Medical Sciences. 21(3). 323–330. 17 indexed citations

Yu, Qian, Mengwen Zhao, & Pu Yang. (2020). LncRNA UCA1 Suppresses the Inflammation Via Modulating miR-203-Mediated Regulation of MEF2C/NF-κB Signaling Pathway in Epilepsy. Neurochemical Research. 45(4). 783–795. 37 indexed citations

Miao, Ying, et al.. (2019). LincRNA-p21 leads to G1 arrest by p53 pathway in esophageal squamous cell carcinoma. SHILAP Revista de lepidopterología. 4 indexed citations

Wang, Shouyi, et al.. (2018). Assessment of neonatal brain volume and growth at different postmenstrual ages by conventional MRI. Medicine. 97(31). e11633–e11633. 11 indexed citations

Лю, Бо, Erdong Shen, Mingmei Liao, et al.. (2016). Expression and mechanisms of long non-coding RNA genes MEG3 and ANRIL in gallbladder cancer. Tumor Biology. 37(7). 9875–9886. 48 indexed citations

10.

Yang, Pu, et al.. (2016). Smooth muscle cell-specific Tgfbr1 deficiency promotes aortic aneurysm formation by stimulating multiple signaling events. Scientific Reports. 6(1). 35444–35444. 51 indexed citations

11.

Yang, Pu, et al.. (2014). Expression of serum osteopontin in gastric cancer patients and its effect on tumor metastasis. Zhonghua shiyan waike zazhi. 31(7). 1570–1572.

12.

Iwamoto, Takayuki, Peng Liu, Yong Shen, et al.. (2012). Abstract PD03-08: Statin use and improved outcome in primary inflammatory breast cancer: retrospective cohort study. Cancer Research. 72(24_Supplement). PD03–8. 1 indexed citations

13.

Zhao, Lixing, Yeke Wu, Hui Wang, et al.. (2011). Involvement of COX‐2/PGE₂ signalling in hypoxia‐induced angiogenic response in endothelial cells. Journal of Cellular and Molecular Medicine. 16(8). 1840–1855. 45 indexed citations

14.

Liu, Zhiguo, et al.. (2010). TFPI or uPA–PAI‐1 complex affect cell function through expression variation of type II very low density lipoprotein receptor. FEBS Letters. 584(15). 3469–3473. 11 indexed citations

15.

Wang, Zhiqiang, Zhihe Zhao, Jing Xue, et al.. (2009). Pullout strength of miniscrews placed in anterior mandibles of adult and adolescent dogs: A microcomputed tomographic analysis. American Journal of Orthodontics and Dentofacial Orthopedics. 137(1). 100–107. 44 indexed citations

16.

Liu, Jun, Ling Zou, Zhihe Zhao, et al.. (2009). Successful Treatment of Postpeak Stage Patients with Class II Division 1 Malocclusion Using Non‐extraction and Multiloop Edgewise Archwire Therapy: A Report on 16 Cases. International Journal of Oral Science. 1(4). 207–216. 5 indexed citations

17.

Yuan, Weijie, Jie Ge, Zhikang Chen, et al.. (2008). Over-Expression of EphA2 and EphrinA-1 in Human Gastric Adenocarcinoma and Its Prognostic Value for Postoperative Patients. Digestive Diseases and Sciences. 54(11). 2410–2417. 59 indexed citations

18.

Li, Yu, Pu Yang, Xiaofeng Fan, et al.. (2008). Static magnetic field combined with functional appliances: A new approach to enhance mandibular growth in Class II malocclusion. Medical Hypotheses. 72(3). 276–279. 3 indexed citations

19.

Liu, Jun, Ling Zou, Yi Zheng, et al.. (2007). NF‐κB responds to mechanical strains in osteoblast‐like cells, and lighter strains create an NF‐κB response more readily. Cell Biology International. 31(10). 1220–1224. 12 indexed citations

20.

Yang, Pu. (2006). Clinical efficacy of treatment of liver cancer with combined sodium cantharidate vitamin B_6 injection and TACE therapy. 2 indexed citations

Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.

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